Enhance AI Agents with Supabase and RAG for Multi-Tenant Applications
This workflow integrates Supabase with Retrieval-Augmented Generation (RAG) to create stateful AI agents capable of dynamic CRUD operations and multi-tenant data management. Ideal for applications in customer support, task management, and knowledge repositories.
This workflow leverages Supabase for persistent data storage and OpenAI for context-aware AI interactions, enabling AI agents to perform CRUD operations on various data tables such as messages, tasks, status, and knowledge. It supports multi-tenancy by dynamically generating table names and routing requests based on user IDs, ensuring data isolation and security with Supabase's Row Level Security.
- Platform
- n8n
- Category
- AI
- Price
- $14.99
- Creator
- Hannah Lee
- stickyNote
- supabaseTool
- mcpTrigger
- embeddingsOpenAi
- vectorStoreSupabase
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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